Deep learning techniques for biometric security: A systematic review of presentation attack detection systems

K Shaheed, P Szczuko, M Kumar, I Qureshi… - … Applications of Artificial …, 2024 - Elsevier
Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …

Contactless fingerprint recognition using deep learning—a systematic review

AMM Chowdhury, MH Imtiaz - Journal of Cybersecurity and Privacy, 2022 - mdpi.com
Contactless fingerprint identification systems have been introduced to address the
deficiencies of contact-based fingerprint systems. A number of studies have been reported …

Multiscale patch-based contrast measure for small infrared target detection

Y Wei, X You, H Li - Pattern Recognition, 2016 - Elsevier
Infrared (IR) small target detection plays an important role in IR guidance systems. In this
paper, a biologically inspired method called multiscale patch-based contrast measure …

Spoofing detection system for e-health digital twin using EfficientNet Convolution Neural Network

H Garg, B Sharma, S Shekhar, R Agarwal - Multimedia Tools and …, 2022 - Springer
Digital Twin is the mirror image of any living or non-living objects. Digital Twin and Cyber-
physical system (CPS) provides a new era for industries especially in the healthcare sector …

Fingerprint liveness detection using convolutional neural networks

RF Nogueira, R de Alencar Lotufo… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
With the growing use of biometric authentication systems in the recent years, spoof
fingerprint detection has become increasingly important. In this paper, we use convolutional …

Continuous authentication through finger gesture interaction for smart homes using WiFi

H Kong, L Lu, J Yu, Y Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The development of smart homes has advanced the concept of user authentication to not
only protecting user privacy but also facilitating personalized services to users. Along this …

Fingerprint spoof buster: Use of minutiae-centered patches

T Chugh, K Cao, AK Jain - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
The primary purpose of a fingerprint recognition system is to ensure a reliable and accurate
user authentication, but the security of the recognition system itself can be jeopardized by …

A-Stacking and A-Bagging: Adaptive versions of ensemble learning algorithms for spoof fingerprint detection

S Agarwal, CR Chowdary - Expert Systems with Applications, 2020 - Elsevier
Stacking and bagging are widely used ensemble learning approaches that make use of
multiple classifier systems. Stacking focuses on building an ensemble of heterogeneous …

An investigation of local descriptors for biometric spoofing detection

D Gragnaniello, G Poggi, C Sansone… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Biometric authentication systems are quite vulnerable to sophisticated spoofing attacks. To
keep a good level of security, reliable spoofing detection tools are necessary, preferably …

Slim-ResCNN: A deep residual convolutional neural network for fingerprint liveness detection

Y Zhang, D Shi, X Zhan, D Cao, K Zhu, Z Li - IEEE Access, 2019 - ieeexplore.ieee.org
Fingerprint liveness detection has gradually been regarded as a primary countermeasure for
protecting the fingerprint recognition systems from spoof presentation attacks. The …